S-Metaheuristics Approach to Solve Traveling Salesman Problem

Authors

  • Agung Chandra
  • Aulia Naro

DOI:

https://doi.org/10.25170/metris.v21i02.2496

Keywords:

S-Metaheuristics, Tabu search, simulated annealing

Abstract

Metaheuristic algorithm is a state of the art optimization method which suitable
for solving large and complex problem. Single solution technique – Smetaheuristic is one of metaheuristic algorithm that search near optimal solution
and known as exploitation based. The research conducted to seek a better
solution for deliverying goods to 29 destinations by comparing two well known
optimization methods that can produce the shortest distance: Simulated
Annealing (SA) and Tabu Search (TS). The result shows that TS – 107 KM has
a shorter distance than SA – 119 KM. Exploration based method should be
conducted for next research to produce information in which one is a better
method

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Published

2020-12-01

Issue

Section

Articles
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